Alternatives and similar repositories for GraphLog:

Users that are interested in GraphLog are comparing it to the libraries listed below

• willwhitney / reprieve
  A library for evaluating representations.
  ☆76Updated 3 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 4 years ago
• ofirpress / shortformer
  Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.
  ☆146Updated 3 years ago
• louislva / deepmind-perceiver
  My implementation of DeepMind's Perceiver
  ☆63Updated 3 years ago
• uclnlp / gntp
  ☆57Updated 5 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• dennybritz / papergraph
  AI/ML citation graph with postgres + graphql
  ☆187Updated 4 years ago
• TimDettmers / transformer-xl
  ☆64Updated 4 years ago
• hadarser / ProvablyPowerfulGraphNetworks
  ☆16Updated 4 years ago
• alex-tifrea / poincare_glove
  Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper
  ☆88Updated 4 years ago
• ethanjperez / rda
  Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…
  ☆35Updated 3 years ago
• deep-spin / tutorial
  Web page for our tutorial on latent structure for NLP
  ☆47Updated 5 years ago
• gsarti / lambda-bert
  A 🤗-style implementation of BERT using lambda layers instead of self-attention
  ☆69Updated 4 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆175Updated 4 years ago
• ICLR / iclr.github.io
  ☆83Updated 4 years ago
• mertensu / transformer-tutorial
  Visualising the Transformer encoder
  ☆111Updated 4 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• facebookresearch / clutrr
  Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language
  ☆91Updated 10 months ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆99Updated 4 years ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆130Updated 4 years ago
• nmonath / kdcovid
  Knowledge Discovery for COVID19: Search the full text of CORD19 research papers on COVID 19
  ☆26Updated 4 years ago
• srush / parallax
  ☆153Updated 4 years ago
• facebookresearch / RTFM
  Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".
  ☆38Updated 3 years ago
• andrewk1 / pytorch-deep-bayesian-bandits
  PyTorch port and extension of the Deep Bayesian Bandits Library
  ☆42Updated 5 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• ibalazevic / multirelational-poincare
  Multi-relational Poincaré Graph Embeddings
  ☆158Updated 5 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated last year
• tkipf / c-swm
  Contrastive Learning of Structured World Models
  ☆391Updated 4 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆126Updated 6 years ago
• sailab-code / gnn
  Graph Neural Network
  ☆43Updated 3 years ago